马来西亚在全球资讯社会的标杆定位:退步还是进步?

R. Ramasami
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引用次数: 4

摘要

本文的目的是阐明通常用于抽样的Dalenius-Hodges分层方法,当与排名和指数标准化程序相结合时,如何成为对全球信息社会(GIS)现象进行分类和基准测试的强大政策工具。Dalenius-Hodges方法比其他流行的基准方法更可取;它有一个划分地层边界的客观标准和一个不考虑变量性质的标准化编制指标的程序,概念简单,易于计算。为了研究GIS现象,本文提出了一个社会技术模型,重点关注信息通信技术(ICT)获取、扩散、使用和技能下的9个基本变量。该模型使用了取自154个国际电信联盟(ITU)成员国2002年和2007年的原始数据。对于每个变量,根据拟议的8-S框架对国家进行排名和分类,最先进的组被称为“滑冰者”,最不发达的组被称为“睡眠者”;其他类别是跨步者、短跑者、滑步者、漫步者、洗牌者和初学者,这是由指数值决定的,理论上从最低分数0到最高分数100。为了了解各国在地理信息系统中的表现,马来西亚的表现受到了特别关注。马来西亚在前一个农业工业时代享受了二十多年的惊人增长后,其经济优势已逐渐输给一些新解放的经济体,特别是在吸引外国直接投资方面。马来西亚是发展中国家中较早采用互联网技术的国家之一,并率先推行以知识为基础的经济,以克服其对亚洲一些低工资国家失去的投资优势。这已成为马来西亚经济表现的主要政策关切,特别是在与信息时代有关的新投资因素和标准之后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benchmarking Malaysia in the Global Information Society: Regressing or Progressing?
The purpose of this paper is to elucidate how the Dalenius-Hodges stratification methodology typically used in sampling, when combined with ranking and index standardization procedures, becomes a powerful policy tool for classifying and benchmarking global information society (GIS) phenomena. The Dalenius-Hodges methodology is preferable to other popular benchmarking methodologies; it has an objective criterion in demarcating strata boundaries and a standardized procedure of compiling indexes irrespective of the nature of the variables and is conceptually simple and easy to compute. For studying GIS phenomena, the paper proposes a socio-technology model, focusing on nine basic variables apportioned under information communications technology (ICT) access, diffusion, usage, and skills. The model uses raw data extracted from 154 International Telecommunication Union (ITU) member countries for 2002 and 2007. For each variable, the countries are ranked and classified under the proposed 8-S Framework, with the most advanced group termed Skaters and the least developed group Sleepers; the other categories are Striders, Sprinters, Sliders, Strollers, Shufflers, and Starters, as determined by the index values, which theoretically range from a minimum score of zero to a maximum of 100. In an attempt to understand the performance of various nations in the GIS ladder, Malaysia’s performance received special attention. After enjoying spectacular growth for more than two decades during the preceding agro-industrial era, Malaysia has been losing its economic advantage to a number of newly liberated economies, in particular, in attracting foreign direct investment (FDI). Malaysia was one of the early adopters of Internet technology among developing nations and pioneered the promulgation of a knowledge-based economy to overcome its loss of investment advantage to a number of low-wage countries in Asia. This has become a major policy concern for Malaysia’s economic performance especially in the wake of new investment factors and criteria related to the information age.
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